Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning.
Haiping LuKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: IEEE Trans. Neural Networks (2009)
Keyphrases
- subspace learning
- principal component analysis
- dimensionality reduction
- semi supervised
- low dimensional
- dimension reduction
- face recognition
- independent component analysis
- unsupervised learning
- feature extraction
- data representation
- manifold learning
- high dimensional data
- discriminant analysis
- covariance matrix
- face images
- feature space
- singular value decomposition
- maximum margin criterion
- sparse representation
- linear discriminant analysis
- supervised learning
- high dimensional
- image processing
- high dimensionality
- maximum likelihood
- data points
- subspace learning algorithm